Sentence examples for speech recognition component from inspiring English sources

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Dr. Michiel Bacchiani, an AT&T researcher who worked on ScanMail's speech recognition component, said that although the error rate of the system was not inconsiderable, about 27percentt, it was good enough for meaningful searching and browsing of the voice-mail content.

One of RosettaStone's main competitors, TellMeMore (tellmemore.com), believes it has an advantage because its software not only teaches words and phrases, but includes a speech recognition component that analyzes pronunciation, presents a graph of speech, and suggests how to perfect it.

The speech interface consists of the speech recognition component and the emotion recognition from speech component.

We assess the feasibility of deploying Word War via the Internet by conducting our first user study remotely and evaluating the performance of the speech recognition component.

Similar(56)

The conventionally human task that he's performing is speech recognition — a critical component of the apex of artificial intelligence.

A typical speech-to-speech translation system consists of three components: speech recognition, machine translation and speech synthesis.

Incorporating visual information into speech recognition requires two new components: the visual front end, which detects the speaker's mouth area and extracts informative visual speech features from it, and the integration of the visual features into the speech recognition process.

A speech recognition system has two major components, namely, feature extraction and classification.

It is efficient to reduce the dimension of the feature vector and to decorrelate components for speech recognition.

Missing feature methods of noise compensation for speech recognition operate by first identifying components of a spectrographic representation of speech that are considered to be corrupt.

A modern automatic speech recognition (ASR) system involves three components: an acoustic feature extractor to derive representative features for speech signals, an emission model to represent static properties of the speech features, and a transitional model to depict dynamic properties of speech production.

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